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pro vyhledávání: '"Hossny, Ahmad Hany"'
Autor:
Hossny, Ahmad Hany, Mitchell, Lewis
Event detection using social media streams needs a set of informative features with strong signals that need minimal preprocessing and are highly associated with events of interest. Identifying these informative features as keywords from Twitter is c
Externí odkaz:
http://arxiv.org/abs/1901.00570
Extracting textual features from tweets is a challenging process due to the noisy nature of the content and the weak signal of most of the words used. In this paper, we propose using singular value decomposition (SVD) with clustering to enhance the s
Externí odkaz:
http://arxiv.org/abs/1807.09561
Publikováno v:
In Progress in Nuclear Energy June 2020 124
Autor:
Hossny, K.1 Karim.Hossny@BUE.edu.eg, Hossny, Ahmad Hany2, Magdi, S.3, Soliman, Abdelfattah Y.4, Hossny, Mohammed5
Publikováno v:
Scientific Reports. 8/10/2020, Vol. 10 Issue 1, p1-8. 8p.
Publikováno v:
Social Network Analysis & Mining; 7/23/2020, Vol. 10 Issue 1, p1-15, 15p
Publikováno v:
2015 IEEE International Conference on Systems, Man & Cybernetics; 2015, p2174-2179, 6p